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Public evaluation

Geopolitical Event Analysis

The solution will be evaluated on the correctness and relevance of its geopolitical risk assessments for commodities, the robustness of its data pipelines, and the clarity of its generated insights.

Evaluation type
task based
Challenge
Geopolitical Commodity Market Intelligence Agent
Difficulty
Advanced
Rigor
Unspecified

Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
3
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

Geopolitical Event Analysis

Evaluate the system's ability to identify and summarize relevant geopolitical events impacting a commodity.

Input format

{'event_description': 'string', 'commodity': 'string', 'date': 'YYYY-MM-DD'}

Output format

{'summary': 'string', 'potential_impact': 'string', 'risk_score': 'float (0-10)'}

Task 2

Market Sentiment & Prediction

Assess the system's capability to analyze market sentiment and provide a short-term price direction prediction.

Input format

{'commodity': 'string', 'period': 'string (e.g., '24h', '1w')'}

Output format

{'sentiment': 'positive|neutral|negative', 'prediction_direction': 'up|down|stable', 'justification': 'string'}

Task 3

Dagster Pipeline Robustness

Verify the Dagster pipeline successfully ingests data, executes LLM analysis, and stores results without failure.

Input format

{'pipeline_name': 'string', 'config': 'dict'}

Output format

{'status': 'success|failure', 'error_log': 'string (if failure)'}